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Updated: Apr 24, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.8K

Using Artificial Intelligence to Enhance Evidence Search and Synthesis

Susan Bell1, Michael Ackerman, Jacalyn Buck

  • 1Susan Bell is program director at the Helene Fuld Health Trust National Institute for Evidence-Based Practice in Nursing and Healthcare at The Ohio State University (OSU) College of Nursing, Columbus, OH, where Michael Ackerman is a clinical professor and director of the Master of Healthcare Innovation Program and the Center for Healthcare Innovation and Leadership, Jacalyn Buck is a clinical professor and executive director for academic partnerships, Andrew Frueh is a project manager, Kathy Piotrowski and Todd E. Tussing are associate clinical professors, Cindy Zellefrow is an assistant professor and DNP project coordinator, and Molly McNett is associate dean for evidence-based practice and implementation science and the Helene Fuld Endowed Professor of Evidence-Based Practice. Jillian Maitland is associate chief nursing officer for women and infants and emergency services at the OSU Wexner Medical Center, Columbus, OH. Maria Sokol is a clinical abstraction specialist, Cleveland Clinic, Cleveland, OH. Contact author: Susan Bell, bell.15@osu.edu. The authors have disclosed no potential conflicts of interest, financial or otherwise.

The American Journal of Nursing
|April 23, 2026
PubMed

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